Triple
T4102076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monumenta art installations |
E87963
|
entity |
| Predicate | siteSpecific |
P30375
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: true | Statement: [Monumenta art installations, siteSpecific, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: siteSpecific Context triple: [Monumenta art installations, siteSpecific, true]
-
A.
isSiteSpecific
chosen
Indicates that something is designed, intended, or valid only for a particular location, context, or site and does not generally apply elsewhere.
-
B.
site
Indicates that one entity is the physical or virtual location where another entity is situated, occurs, or is based.
-
C.
siteTypeServed
Indicates the type of site or location that is served, supported, or handled by a given entity or resource.
-
D.
isSiteOf
Indicates that a location or place serves as the setting or host for a particular event, activity, or feature.
-
E.
typeOfSite
Indicates the specific category or kind of site that an entity is classified as.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69aed94564cc8190a9c1457daedb6e7f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd1012208190ab0980c661d6bc41 |
completed | March 9, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69aef90b2ef08190ae84febfd69dd48b |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:40 p.m.